Author

T. S. Frisby

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioengineering· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:sequence-to-function modeling· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

C. J. Langmead· 1 shared

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

BioengineeringProteins: Structure, Function, and BioinformaticsPeer-reviewedJun 20, 2023

Identifying promising sequences for protein engineering using a deep Transformer Protein Language Model

T. S. Frisby, C. J. Langmead

This paper introduces a deep Transformer Protein Language Model to identify promising protein sequences for engineering by calculating a PROMISE SCORE based on predicted interactions with binding partners.

DOI 10.1002/prot.26536

protein sequencedeep learning

𝕏 PostBluesky